intervals

Not using MSSQL or DB2 or Oracle. No CTE. No OVERLAP predicate. No INTERVAL data type. The situation: on a vehicle to be repaired work can not start until all parts ordered for the job have been received. Parts may be ordered multiple times prior to the start of repair. We need to extract the time for which the vehicle was on "parts hold" So for a vehicle identified as id = 1 parts were ordered (d1) and received (d2) on 4 different occasions ID d1 d2 1 8/1 8/8 1 8/2 8/6 1 8/12 8/14 1 8/3 8/10 8/1 8/8 d1 d2 |-------------------------------| 8/2 8/6 8/12 8/14 d1 d2 d1 d2 |---------------| |-----

There's this interesting API called Intervalindex new in 0.20 that lets you create an index of intervals. Given some sample data: data = [(893.1516130000001, 903.9187099999999), (882.384516, 893.1516130000001), (817.781935, 828.549032)] You can create the index like this: idx = pd.IntervalIndex.from_tuples(data) print(idx) IntervalIndex([(893.151613, 903.91871], (882.384516, 893.151613], (817.781935, 828.549032]] closed='right', dtype='interval[float64]') An interesting property of Interval s is that you can perform interval checks with in : print(y[-1]) Interval(817.78193499999998, 828

How can I use interval in js? For example I want to call a function every 5 seconds? <script type="text/javascript"> setInterval(openAPage(), 5000); function openAPage() { var startTime = new Date().getTime(); var myWin = window.open("http://www.sabah.com.tr","_blank") var endTime = new Date().getTime(); var timeTaken = endTime-startTime; </script> This script doesn't work, anyone know why? These answers are thorough and good; I just want to specifically fix yours. See the other answers for HOW/WHY. setInterval(openAPage, 5000); Note the lack of () . Also, you're missing the closing } on the

I want to make a banner by using jQuery. When the page loaded script will show a group of photos one by one. For example, the controller sends 10 photos and each photo will be shown in 30 seconds after 10 minutes the script demand another photo from the controller. The question is: How can I make a function that runs in 30 sec. I need to run a function in a time interval without any button click or anything else. The main method is: setInterval(function () { console.log('it works' + new Date()); },30000); If you need to clear interval in future: var myInterval = setInterval(function () {

In PostgreSQL I want to concat the current_timestamp with an interval as follows: select current_timestamp + interval 2||' days' But when I do, I get an error: [Err] ERROR: syntax error at or near "2" LINE 1: select current_timestamp + interval 2||' days' But if I do it like this, it works correctly: select current_timestamp + interval '2 days' Why does one work, but not the other? With reference to the following page http://www.postgresql.org/docs/8.0/static/functions-datetime.html Part of the problem is that the standard SQL expression for intervals quotes the number, but not the keywords.

I'm curious if anyone out there can come up with a (faster) way to calculate rolling statistics (rolling mean, median, percentiles, etc.) over a variable interval of time (windowing). That is, suppose one is given randomly timed observations (i.e. not daily, or weekly data, observations just have a time stamp, as in ticks data), and suppose you'd like to look at center and dispersion statistics that you are able to widen and tighten the interval of time over which these statistics are calculated. I made a simple for loop that does this. But it obviously runs very slow (In fact I think my loop

I have a data sample which looks like this: a 10:15:22 10:15:30 OK b 10:15:23 10:15:28 OK c 10:16:00 10:17:10 FAILED b 10:16:30 10:16:50 OK What I want is to plot the above data in the following way: captions ^ | c | *------* b | *---* *--* a | *--* |___________________ time > With the color of lines depending on the OK/FAILED status of the data point. Labels ( a/b/c/... ) may or may not repeat. As I've gathered from documentation for gnuplot and matplotlib , this type of a plot should be easier to do in the latter as it's not a standard plot and would require some preprocessing. The question